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README.md ADDED
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+ ---
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+ library_name: transformers
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+ license: cc-by-nc-4.0
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+ base_model: MCG-NJU/videomae-base
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+ tags:
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+ - generated_from_trainer
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+ metrics:
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+ - accuracy
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+ model-index:
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+ - name: VideoMAE_BdSLW60_FrameRateCorrected_withoutAug
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+ results: []
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+ ---
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+
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+ <!-- This model card has been generated automatically according to the information the Trainer had access to. You
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+ should probably proofread and complete it, then remove this comment. -->
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+
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+ # VideoMAE_BdSLW60_FrameRateCorrected_withoutAug
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+
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+ This model is a fine-tuned version of [MCG-NJU/videomae-base](https://huggingface.co/MCG-NJU/videomae-base) on an unknown dataset.
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+ It achieves the following results on the evaluation set:
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+ - Loss: 0.0694
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+ - Accuracy: 0.9859
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+
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+ ## Model description
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+
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+ More information needed
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+
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+ ## Intended uses & limitations
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+
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+ More information needed
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+
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+ ## Training and evaluation data
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+
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+ More information needed
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+
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+ ## Training procedure
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+
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+ ### Training hyperparameters
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+
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+ The following hyperparameters were used during training:
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+ - learning_rate: 5e-05
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+ - train_batch_size: 2
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+ - eval_batch_size: 2
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+ - seed: 42
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+ - gradient_accumulation_steps: 4
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+ - total_train_batch_size: 8
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+ - optimizer: Adam with betas=(0.9,0.999) and epsilon=1e-08
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+ - lr_scheduler_type: linear
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+ - lr_scheduler_warmup_ratio: 0.1
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+ - training_steps: 22400
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+
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+ ### Training results
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+
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+ | Training Loss | Epoch | Step | Validation Loss | Accuracy |
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+ |:-------------:|:------:|:----:|:---------------:|:--------:|
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+ | 3.1009 | 0.0400 | 897 | 2.3993 | 0.5082 |
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+ | 0.3152 | 1.0401 | 1795 | 0.2117 | 0.9612 |
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+ | 0.0363 | 2.0401 | 2693 | 0.0375 | 0.9918 |
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+ | 0.0431 | 3.0401 | 3591 | 0.0841 | 0.9765 |
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+ | 0.0554 | 4.0400 | 4488 | 0.0323 | 0.9941 |
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+ | 0.0467 | 5.0401 | 5386 | 0.0614 | 0.9835 |
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+ | 0.0324 | 6.0401 | 6284 | 0.0944 | 0.9859 |
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+ | 0.0381 | 7.0401 | 7182 | 0.0583 | 0.9871 |
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+ | 0.0039 | 8.0400 | 8079 | 0.0307 | 0.9918 |
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+ | 0.0149 | 9.0401 | 8977 | 0.0694 | 0.9859 |
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+
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+
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+ ### Framework versions
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+
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+ - Transformers 4.44.2
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+ - Pytorch 2.4.1+cu121
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+ - Datasets 2.19.2
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+ - Tokenizers 0.19.1
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